In:Corpus Approaches to Social Media:
Edited by Sofia Rüdiger and Daria Dayter
[Studies in Corpus Linguistics 98] 2020
► pp. 209–210
Index
Published online: 4 November 2020
https://doi.org/10.1075/scl.98.index
https://doi.org/10.1075/scl.98.index
A
- accommodation Felder passim203
- attention economy 2–3
- automatic image annotation 150–151
- automatic semantic tagging 68–69, 72–73, 78–79
B
- Big Data 1, 4, 7, 9, 28, 63, 116, 155, 177
- blogs 2, 69–70, 133, 203
C
- CAMDA 150, 176
- CBDA 64–65, 67–69
- censorship Donlan passim 202–203
- character limit Eberl passim
- Clinton, Hillary 161–163
- collocation
68–69, 78–80, 166–169, 187–193
- collocational network79
- community of practice Leuckert & Leuckert passim, Donlan passim 66, 202
- concordances 67–68, 111, 152, 157, 168
- contractions 135–136, 143
- convergence 91–92, 96–103
- COVID-191
D
- data access8
- dialect 92–94, 107, 180–181
- divergence 91–92, 102, 104–105
E
- emoji 100–101, 105, 117, 132–133, 138–139, 141–142, 178–180, 184–186, 188, 190–192, 204
- emoticon 54, 100–101, 117
- ethics9
F
- Facebook 21, 179–181, 190–191
- first-person pronoun 112, 118–127
- forum 16, 19, 28, 66, 69–71
G
- Google Cloud Vision 155–157
H
- hashtag 132–133, 135, 138–139, 141–142, 152, 170–171
- hedging53
- hidden discourse 163, 171
- Hostile State Information Operations 158–159, 171
I
- identity
2, 21–22, 50, 65, 91
- brand identity180
- image annotation 151, 171, 182–185, 191–192
- informational style 118–119
- Instagram191
- instant messaging144
- introspection 71, 74–75, 78
J
- joint enterprise 23, 36, 42, 44, 66
K
- keyness 164, 178
L
- language change91
- LancsBox 73, 78, 187, 192
- laughter particle 99–100
- lengthwise quantile scaling 125–127
- likes 3, 160–161, 171
- linguistic creativity 34, 133
- linguistic innovation 36, 44, 49
M
- maintenance 91–92, 102–103
- manual tagging 73, 77–78, 80, 82–83, 154, 177
- marketing 178–179
- meme 158, 163
- moderator 41–42, 45, 51–55, 58–59
- multi-dimensional analysis118
- multimodality 37, 149–150, 153–154, 158, 176, 191
- multiple correspondence analysis114
- mutual engagement 22, 35, 42–43, 64, 66
P
- parallelism 102, 105–107
- part of speech 183, 189–190
- photo image 184, 188
- politeness 52, 53
- power 43–44, 45, 51–53, 55–59, 202–203
- pragmatic function142
- pragmatics of participation2
- punctuation 98, 133, 135, 137–138, 141–143
- Python 23, 25, 29, 134
R
- R 25, 134
- Reddit Leuckert & Leuckert passim, Donlan passim, Liimatta passim 201–202
- register 116, 118
- relationship
132, 179–180, 186, 191
- relationship building 2, 179, 191
- relative rarity scaling124
- reservoir sampling120
- retweets 160–161, 171
- rules 20–21, 22, 45, 119
S
- sampling 120, 134
- screenshot 182–183, 185
- second-order collocate 69, 73, 79–80
- semantic domains 72, 164, 166–169
- semantic tagging 69, 72, 78–80, 82–83, 169
- shared repertoire 23, 29, 31–34, 36–37, 42, 44, 50, 64, 66
- slang 44, 47, 50, 66, 74, 77, 80–81
- smartphone 92, 200
- SMS 92–93, 133
- sociolinguistics
21–23, 90–91
- internet sociolinguistics2
- spelling97
- subredditsee Reddit
- swear word77
- Swiss German 93–94
T
- thumbnail 182–183, 185, 190
- tokenization 117–118, 192
- Trump, Donald 161–165, 169–171
- twint 132, 134
- Twitter 69, 114, 205 Eberl passim, Christiansen et al. passim
- Twitter Internet Research Agency158
- type-token ratio 114–115, 135, 143
U
- Unicode 178, 184
- USAS Tagset 72–73, 164
V
- Visual Constituent Analysis Christiansen et al. passim
- visual grammar150
- vocabulary 36, 44, 66, 70, 77–78, 81–82, 135
W
- WhatsApp Felder passim
- WMatrix 65, 72, 78, 164, 170
Y
- YouTube 64, 66, 69–70
